Catch data issues before your users do
Alertee runs SQL checks on your database and catches silent failures — stale, missing, or incorrect data.
See how setup works
From a plain-English prompt to your first alert in three steps.
Describe it
Tell Alertee what should keep working
Plain English is enough. SQL stays editable.
Suggested monitors
Generated from your schema and prompt. Edit before enabling.
Paid payments are still being recorded
SELECT count(*) FROM payments WHERE status = 'paid'
every 15m
Nightly import writes new rows
SELECT max(imported_at) FROM customer_events
daily
Every region is still reporting orders
SELECT region AS name, count(*) AS value FROM orders
every 15m
If Paid payments fails, Alertee opens one Inbox item.
Assign it, resolve it, and mark whether it was real, transient, expected, or noisy.
SQL monitoring for the outcomes users notice
Alertee focuses on the gap between uptime and data observability: simple production data checks that keep running after setup.
Schema-aware setup
Connect Postgres or ClickHouse and Alertee suggests practical SQL checks from your real schema.
Transparent SQL
Every check is plain SQL you can inspect, edit, copy, or take back from the agent at any time.
Multi-dimensional checks
Track outcomes by tenant, region, integration, product, or job type without creating hundreds of checks.
Agent-ready: CLI & MCP
Drive Alertee from your terminal or an AI agent over MCP. An alert can fire a webhook that hands an agent the check — it pulls the SQL and recent history and investigates on its own.
Data incident inbox
Failed data checks become owned items you can acknowledge, resolve, and classify to reduce future noise.
Simple, Transparent Pricing
Start free, then upgrade when your monitoring grows.
Every plan includes